Loading DataFrames with Sensitive Information
When working with data, especially sensitive data, it is crucial to handle and load information securely. In this context, you will focus on loading a DataFrame containing sensitive information. You will get to know the best practices for ensuring data security while using tools such as Azure Databricks. By following secure loading practices, you can protect sensitive data and maintain compliance with privacy regulations.
Earlier in this chapter, you learned about techniques such as data masking and row- and column-level security for Azure Synapse SQL.
Note
This section primarily focuses on the Load a DataFrame with sensitive information concept of the DP-203: Data Engineering on Microsoft Azure exam.
Spark, at the time of writing this book, didn’t have techniques, other than Personally Identifiable Information (PII), for handling sensitive information. If handling sensitive data goes beyond PII, you can utilize it by...
